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Ferdinand Heinrich
Ferdinand Heinrich
Fraunhofer EMFT
Bestätigte E-Mail-Adresse bei emft.fraunhofer.de
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Zitiert von
Zitiert von
Jahr
Wearable decubitus prophylaxis tool based on machine learning methods
L Grünerbel, F Heinrich, D Diebolder, M Richter
2022 IEEE International Conference on Pervasive Computing and Communications …, 2022
72022
Tiny Machine Learning Sensor Platform for Local Sensor Data Fusion and Evaluation
F Fraidling, C Hochreiter, F Heinrich, F Rieger, F Wenninger
MikroSystemTechnik Kongress 2023, 2023
2023
Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers
L Gruenerbel, F Heinrich, J Böhlhoff-Martin, L Röper, HG Machens, ...
Bioengineering 10 (10), 1125, 2023
2023
Characterizing the Relationship between Pressure Loading and Skin Temperature in Pressure Ulcer Risk Patients
A Kist, F Heinrich, M Döllinger, M Schillinger
2023
Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers. Bioengineering 2023, 10, 1125
L Gruenerbel, F Heinrich, J Böhlhoff-Martin, L Röper, HG Machens, ...
2023
Towards an Intelligent Triage Bracelet: A Conceptual Study of a Semi-Automated Prehospital Triage Algorithm and the Integration of Blood Pressure Measurement.
L Grünerbel, F Heinrich, O Zett, K Axelsson, M Schumann
BIODEVICES, 169-176, 2023
2023
Pressure Pulse Classification for Flow Disturbance Detection in Micro Diaphragm Pumps
T Thalhofer, F Heinrich, O Hayden
MikroSystemTechnik Congress 2021; Congress, 1-4, 2021
2021
Flow Disturbance Detection in Micro Diaphragm Pumps: Automated Data Acquisition Setup and Time Series Classification with Machine Learning
F Heinrich
2021
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